Research on Design Model of Human-Machine Interface of Automatic Driving Takeover System Based on User Experience Lijun Jiang 1,2(&) , Xiu Wang 1 , Zhelin Li 1,2 , and Yu Zhang 1 1 South China University of Technology, Guangzhou 510041, China ljjiang@scut.eud.cn 2 Human-Computer Interaction Design Engineering Technology Research Center of Guangdong, Guangzhou, Guangdong, China Abstract. The human-machine interaction interface of the cockpits of auton- omous vehicles need to be redesigned to ensure safety and improve the user experience. Aiming at the interaction requirements in the takeover scenarios of the L3 level automatic driving, the human-machine interface design model of automatic-driving takeover system based on the user experience is obtained through the specific study on the human-vehicle-environment relationship of the automatic-driving takeover system, combined with the design knowledge of the human-machine interface of the vehicle. The model provides design guidance for the designer of human-machine interface of the automatic-driving takeover system to optimize the design strategy, and create better driving experience for the users. Keywords: User experience Á Automatic driving Á Takeover system Á Interface design 1 User Experience Theory in Human-Vehicle Interaction 1.1 User Experience Needs in Human-Vehicle Interaction Based on Maslow’s hierarchy of needs [1], Ren divides the user experience into five levels of needs, which are sensory experience, interactive experience, emotional expe- rience, social experience and personalized experience, from the lowest level to the highest [2]. According to this classification, the following five levels of needs are nec- essarily to be considered to plan the blueprint of the user experience in the driving process. Sensory Experience Needs. When interacting with cars, the most intuitive and per- ceptible information is expected by the drivers, including visual information, auditory information, tactile information, and even olfactory and taste information through multiple channels. Interactive Experience Needs. High availability, ease of use, learnability, fault tol- erance and other properties of driving system is expected, because it is related to whether the functions and contents of the system can be correctly transmitted to the driver. © Springer Nature Switzerland AG 2019 A. Marcus and W. Wang (Eds.): HCII 2019, LNCS 11585, pp. 41–60, 2019. https://doi.org/10.1007/978-3-030-23538-3_4